Zobrazeno 1 - 10
of 38
pro vyhledávání: '"José L. Zayas-Castro"'
Autor:
Nancy Diaz-Elsayed, Jorge A. Acuna, Michelle Henderson, Wainella Isaacs, Daniela Cantarino, Jennifer K. Bosson, Tramaine Polk, Patricia Robinson, Bernard Batson, José L. Zayas-Castro
Publikováno v:
Frontiers in Education, Vol 8 (2023)
In 2016, only 7 percent of African American and Hispanic students earned research doctorates in the critical disciplines of engineering, computing, and the physical sciences. In academia, diversity fairs even worse as historically underrepresented mi
Externí odkaz:
https://doaj.org/article/cde632be8b7c4e5eaece2fe7c588a20a
Autor:
Hasan Symum, José L. Zayas-Castro
Publikováno v:
Healthcare Informatics Research, Vol 26, Iss 1, Pp 20-33 (2020)
ObjectivesThe study aimed to develop and compare predictive models based on supervised machine learning algorithms for predicting the prolonged length of stay (LOS) of hospitalized patients diagnosed with five different chronic conditions.MethodsAn a
Externí odkaz:
https://doaj.org/article/4007bbc5de904e4cacf203087b3a09c6
Autor:
Felipe Feijoo, Diego Martinez, Sriram Sankaranarayanan, José L. Zayas-Castro, Jorge A. Acuna, Rodrigo Martínez
Publikováno v:
Health Care Management Science
Prolonged waiting to access health care is a primary concern for nations aiming for comprehensive effective care, due to its adverse effects on mortality, quality of life, and government approval. Here, we propose two novel bargaining frameworks to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29bdb611aeb6e86084dbdb6e40448ba0
https://doi.org/10.1007/s10729-021-09577-x
https://doi.org/10.1007/s10729-021-09577-x
Publikováno v:
Reumatología Clínica. 16:161-164
Objective This work attempts to provide a model to predict the development of osteonecrosis (ON) in individuals with systemic lupus erythematosus (SLE) using pharmacological, demographic, and psychoactive factors. Method A review of the literature wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a5af30edbf687e4d647f5741bdcaea9
https://doi.org/10.1016/j.reuma.2018.05.002
https://doi.org/10.1016/j.reuma.2018.05.002
Autor:
José L. Zayas-Castro, Hasan Symum
Publikováno v:
Healthcare Informatics Research
Healthcare Informatics Research, Vol 26, Iss 1, Pp 20-33 (2020)
Healthcare Informatics Research, Vol 26, Iss 1, Pp 20-33 (2020)
Objectives The study aimed to develop and compare predictive models based on supervised machine learning algorithms for predicting the prolonged length of stay (LOS) of hospitalized patients diagnosed with five different chronic conditions. Methods A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abf021c782556fe2e8cf74d3a5877231
http://europepmc.org/articles/PMC7010949
http://europepmc.org/articles/PMC7010949
Autor:
Hasan Symum, José L. Zayas-Castro
Publikováno v:
Hospital pediatrics. 11(11)
OBJECTIVES Increasing pediatric care regionalization may inadvertently fragment care if children are readmitted to a different (nonindex) hospital rather than the discharge (index) hospital. Therefore, this study aimed to assess trends in pediatric n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e416c085326ee7902e44e1e95efcf6d8
https://pubmed.ncbi.nlm.nih.gov/34686583
https://pubmed.ncbi.nlm.nih.gov/34686583
Autor:
José L. Zayas-Castro, Hasan Symum
Publikováno v:
American Journal of Perinatology.
Cesarean rates vary widely across the U.S. states; however, little is known about the causes and implications associated with these variations. The objectives of this study were to quantify the contribution of the clinical and nonclinical factors in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69c29cebcf5eaf3edb842f99952edfe3
https://doi.org/10.1055/s-0041-1736538
https://doi.org/10.1055/s-0041-1736538
Publikováno v:
Journal for Healthcare Quality. 40:129-138
A diverse universe of statistical models in the literature aim to help hospitals understand the risk factors of their preventable readmissions. However, these models are usually not necessarily applicable in other contexts, fail to achieve good discr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d060a7faed29e43bece437911b45d01c
https://doi.org/10.1097/jhq.0000000000000080
https://doi.org/10.1097/jhq.0000000000000080
Autor:
Hasan Symum, José L. Zayas-Castro
Publikováno v:
Healthcare
Volume 9
Issue 10
Healthcare, Vol 9, Iss 1334, p 1334 (2021)
Volume 9
Issue 10
Healthcare, Vol 9, Iss 1334, p 1334 (2021)
The timing of 30-day pediatric readmissions is skewed with approximately 40% of the incidents occurring within the first week of hospital discharges. The skewed readmission time distribution coupled with delay in health information exchange among hea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a21559d250d39d5a02511236dcc28668
https://doi.org/10.3390/healthcare9101334
https://doi.org/10.3390/healthcare9101334
Publikováno v:
Operations Research for Health Care. 30:100312
We analyze the two recent Medicare alternative payment models, the comprehensive primary care plus (CPC+) and the primary care first (PCF). Both models comprise fee-for-service, traditional capitation, and pay-for-performance (P4P) components. The ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34168b8e18383ead7d9862fbdb9a21d3
https://doi.org/10.1016/j.orhc.2021.100312
https://doi.org/10.1016/j.orhc.2021.100312